Information Processor Keyword Extraction for User Profile Accuracy
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing language learning support systems fail to effectively create user profiles that reflect users' wide-ranging interests based on their speech, limiting the personalization of services and advertisements.
Innovation Solution
An information processor that acquires keywords from user speech, summarizes descriptions, extracts additional elements not in the summary, and outputs these elements to create a user profile, allowing for deeper interest reflection through spontaneous user input, with conditions for outputting these elements varying based on the number of vehicle occupants and conversation frequency.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If the system outputs all detailed information from the database description, then the user can access complete information, but the information processing time and user attention required increase significantly
Solution Approach 1:
The patent segments information into two distinct parts: a summary containing essential information and additional elements containing detailed information. The summary creating section generates a condensed overview, while the extracting section identifies supplementary details. This segmentation allows users to quickly consume essential information through the summary while having access to complete information through additional elements if needed, thus resolving the contradiction between information completeness and processing time.
Solution Approach 2:
The extracting section extracts additional elements from the full description that are not included in the summary. These extracted elements contain supplementary information that users can access selectively. This extraction mechanism enables the system to provide complete information while allowing users to control their information consumption time by choosing whether to read beyond the summary.
2Measurement precision
If the system creates a detailed user profile by analyzing all user speech data, then the profile accuracy improves, but the complexity of data processing increases
Solution Approach 1:
The system extracts only the necessary additional elements from full descriptions rather than processing and storing all raw data. The profile creating section uses these extracted elements along with user inputs to build accurate profiles. This extraction approach maintains profile accuracy by capturing essential information while reducing data processing complexity compared to analyzing complete speech datasets.
Solution Approach 2:
The system incorporates spontaneous user inputs directly into profile creation, allowing users to actively participate in defining their own profiles. This self-service mechanism improves profile accuracy by incorporating user-intended information while simplifying processing compared to purely automated analysis of all speech data.
3Speed
If the system outputs additional elements immediately after keyword acquisition, then information freshness is improved, but conversation interruption occurs when multiple occupants are present
Solution Approach 1:
The patent implements dynamic control of information output based on real-time detection of conversation frequency and number of occupants. The output section monitors these parameters and adjusts its behavior accordingly: outputting additional elements immediately when appropriate, or delaying output when conversation frequency indicates active discussion. This dynamic adaptation resolves the contradiction by making information delivery speed responsive to contextual conditions rather than fixed.
Solution Approach 2:
The system uses feedback from conversation frequency detection and occupant number detection to control the timing of information output. When conversation frequency exceeds thresholds or multiple occupants are detected, the system delays output to avoid interruption. This feedback mechanism allows the system to maintain information freshness while adapting to social context, resolving the contradiction between speed and harmful interruptions.
Data Source
AI summary
An information processor includes a keyword acquisition section configured to acquire a keyword; a first acquisition section configured to acquire information on a description of the acquired keyword from a database; a summary creating section configured to summarize the description to create a summary; an extracting section configured to extract, from the description, at least one element that is not contained in the summary; an output section configured to output the at least one element that is not contained in the summary to a user, and to output the summary to the user after outputting the at least one element that is not contained in the summary to the user; and a profile creating section configured to create a user profile of the user in accordance with an input indicative of an interest of the user.